Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs.
Mingu KangYongjune KimAmeya D. PatilNaresh R. ShanbhagPublished in: IEEE Trans. Circuits Syst. I Fundam. Theory Appl. (2020)
Keyphrases
- machine learning
- trade off
- computational complexity
- computational efficiency
- high accuracy
- memory usage
- prediction accuracy
- learning algorithm
- data sets
- machine learning algorithms
- active learning
- data analysis
- memory space
- data mining
- neural network
- past experience
- explanation based learning
- real time
- deep learning
- highly efficient
- inductive learning
- success rate
- text mining
- knowledge discovery
- knowledge representation
- pattern recognition
- training data